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GLM-4.6 MCP Server

by bobvasic
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<div align="center"> ![GLM-4.6 Language Models](assets/gml46hero.png) # <span style="color: #1e3a8a">GLM-4.6 MCP Server</span> ### <span style="color: #10b981">Enterprise Architecture Consultation Protocol</span> **Model Context Protocol bridge enabling Claude 4.5 Sonnet to leverage GLM-4.6's architectural intelligence for advanced system design, scalability patterns, and technical decision-making.** [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Node.js](https://img.shields.io/badge/node-%3E%3D18.0.0-brightgreen)](https://nodejs.org/) [![TypeScript](https://img.shields.io/badge/TypeScript-5.7-blue)](https://www.typescriptlang.org/) --- </div> ## <span style="color: #1e3a8a">🏗️ System Overview</span> This MCP server establishes a bi-directional protocol bridge between **Claude 4.5 Sonnet** and **GLM-4.6**, enabling real-time architectural consultation during development workflows. The server exposes GLM-4.6's specialized capabilities through standardized MCP tools, facilitating seamless integration with Warp Terminal's agent infrastructure. ### <span style="color: #10b981">Architectural Capabilities</span> - **Distributed Systems Design**: Microservices patterns, service mesh architectures, event-driven systems - **Scalability Engineering**: Horizontal scaling strategies, load balancing, caching hierarchies - **Security Architecture**: Threat modeling, zero-trust patterns, authentication/authorization frameworks - **Code Analysis**: SOLID principles evaluation, design pattern recognition, refactoring recommendations - **Technical Decision Review**: Trade-off analysis, risk assessment, alternative approach evaluation - **System Architecture Design**: Component decomposition, data flow modeling, technology stack selection --- ## <span style="color: #1e3a8a">⚡ Quick Start</span> ### <span style="color: #10b981">Prerequisites</span> ```bash path=null start=null node >= 18.0.0 npm >= 9.0.0 GLM-4.6 API Key from https://open.bigmodel.cn ``` ### <span style="color: #10b981">Installation</span> ```bash path=null start=null cd glm-mcp-server npm install npm run build ``` ### <span style="color: #10b981">Environment Configuration</span> Create `.env` file in project root: ```bash path=null start=null GLM_API_KEY=your_api_key_here ``` **Security Notice**: Never commit `.env` to version control. Use secure secret management in production environments. --- ## <span style="color: #1e3a8a">🔧 Warp Terminal Integration</span> ### <span style="color: #10b981">MCP Server Configuration</span> Add the following configuration to your Warp MCP servers configuration file: **Location**: `~/.config/warp-terminal/mcp_servers.json` or Warp Settings → MCP Servers ```json path=null start=null { "mcpServers": { "glm-architecture": { "command": "node", "args": ["/absolute/path/to/glm-mcp-server/build/index.js"], "env": { "GLM_API_KEY": "your_glm_api_key_here" } } } } ``` **⚠️ Configuration Notes**: - Replace `/absolute/path/to/glm-mcp-server` with your actual installation path - Replace `your_glm_api_key_here` with your actual GLM API key - Restart Warp Terminal after configuration changes ### <span style="color: #10b981">Verification</span> ```bash path=null start=null # Test server functionality node build/index.js # Expected output: "GLM-4.6 MCP Server running on stdio" ``` --- ## <span style="color: #1e3a8a">📡 MCP Tools Reference</span> ### <span style="color: #10b981">1. `consult_architecture`</span> General architectural consultation for system design patterns, scalability strategies, and technical guidance. **Input Schema**: ```typescript path=null start=null { query: string; // Architectural question requiring expert consultation context?: string; // Optional system context, requirements, constraints } ``` **Use Case**: High-level architectural decisions, pattern selection, scalability planning --- ### <span style="color: #10b981">2. `analyze_code_architecture`</span> Architectural analysis of source code including design patterns, SOLID principles, and improvement recommendations. **Input Schema**: ```typescript path=null start=null { code: string; // Source code to analyze language: string; // Programming language (typescript, python, go, java, etc.) question: string; // Specific architectural question about the code } ``` **Use Case**: Code review, refactoring planning, design pattern evaluation --- ### <span style="color: #10b981">3. `design_system_architecture`</span> Complete system architecture design from requirements including component breakdown, data flow, and deployment strategies. **Input Schema**: ```typescript path=null start=null { requirements: string; // Detailed system requirements, constraints, objectives } ``` **Use Case**: New system design, architecture documentation, technology selection --- ### <span style="color: #10b981">4. `review_technical_decision`</span> Technical decision review with impact assessment, trade-off analysis, and alternative recommendations. **Input Schema**: ```typescript path=null start=null { decision: string; // Technical decision to review context: string; // Current architecture, constraints, objectives } ``` **Use Case**: Architecture review, technology evaluation, risk assessment --- ## <span style="color: #1e3a8a">🔬 Usage Examples</span> ### <span style="color: #10b981">Example 1: Architectural Consultation</span> Within Warp Terminal, Claude can invoke: ```typescript path=null start=null // Claude automatically calls via MCP consult_architecture({ query: "What's the optimal caching strategy for a high-traffic API with 10k req/s?", context: "Node.js microservices, PostgreSQL database, AWS infrastructure" }) ``` ### <span style="color: #10b981">Example 2: Code Architecture Analysis</span> ```typescript path=null start=null analyze_code_architecture({ code: `class UserService { ... }`, language: "typescript", question: "Does this service follow clean architecture principles?" }) ``` ### <span style="color: #10b981">Example 3: System Design</span> ```typescript path=null start=null design_system_architecture({ requirements: ` - Real-time messaging platform - 1M concurrent users - Sub-100ms latency - 99.99% uptime SLA - Global distribution ` }) ``` --- ## <span style="color: #1e3a8a">🏛️ Architecture</span> ``` ┌─────────────────────────────────────────────────────────────┐ │ Warp Terminal │ │ ┌──────────────────────────────────────────────────────┐ │ │ │ Claude 4.5 Sonnet Agent │ │ │ └────────────────────┬─────────────────────────────────┘ │ └───────────────────────┼─────────────────────────────────────┘ │ MCP Protocol (stdio) ▼ ┌─────────────────────────────────────────────────────────────┐ │ GLM MCP Server (Node.js) │ │ ┌──────────────────────────────────────────────────────┐ │ │ │ MCP Protocol Handler │ Tool Registry │ │ │ ├──────────────────────────────────────────────────────┤ │ │ │ GLM-4.6 API Client Layer │ │ │ │ • Authentication • Error Handling • Retry Logic │ │ │ └──────────────────────────────────────────────────────┘ │ └────────────────────────┬────────────────────────────────────┘ │ HTTPS/REST ▼ ┌─────────────────────────────────────────────────────────────┐ │ GLM-4.6 API (open.bigmodel.cn) │ │ Zhipu AI Model Inference │ └─────────────────────────────────────────────────────────────┘ ``` --- ## <span style="color: #1e3a8a">🛠️ Development</span> ### <span style="color: #10b981">Build</span> ```bash path=null start=null npm run build # Compile TypeScript to JavaScript npm run watch # Development mode with auto-rebuild ``` ### <span style="color: #10b981">Project Structure</span> ``` glm-mcp-server/ ├── src/ │ ├── index.ts # MCP server entry point │ └── glm-client.ts # GLM-4.6 API client ├── build/ # Compiled JavaScript output ├── package.json # Dependencies and scripts ├── tsconfig.json # TypeScript configuration └── .env # Environment variables (not in VCS) ``` --- ## <span style="color: #1e3a8a">🔐 Security Considerations</span> - **API Key Management**: Store GLM_API_KEY in environment variables, never in code - **Transport Security**: All API communications use HTTPS/TLS - **Input Validation**: All tool inputs are validated before processing - **Error Handling**: Sensitive information is sanitized from error messages - **Rate Limiting**: Implement client-side rate limiting for production deployments --- ## <span style="color: #1e3a8a">📊 Performance Characteristics</span> | Metric | Specification | |--------|--------------| | **Latency** | 2-8s (model inference dependent) | | **Throughput** | API key tier dependent | | **Timeout** | 60s default (configurable) | | **Max Token Output** | 4096 tokens | | **Concurrent Requests** | Single instance: 1 (sequential processing) | --- ## <span style="color: #1e3a8a">🐛 Troubleshooting</span> ### <span style="color: #10b981">Server Not Starting</span> ```bash path=null start=null # Verify Node.js version node --version # Must be >= 18.0.0 # Check build output npm run build # Verify GLM_API_KEY is set echo $GLM_API_KEY ``` ### <span style="color: #10b981">API Authentication Errors</span> - Verify API key validity at https://open.bigmodel.cn - Check API key has sufficient quota - Ensure no whitespace in `.env` file ### <span style="color: #10b981">Warp Terminal Integration Issues</span> - Restart Warp Terminal after configuration changes - Verify absolute path in MCP configuration - Check Warp logs: Warp → Settings → Advanced → View Logs --- ## <span style="color: #1e3a8a">📚 Resources</span> - **GLM-4.6 Documentation**: https://docs.z.ai/guides/llm/glm-4.6 - **Model Context Protocol**: https://modelcontextprotocol.io - **Warp MCP Integration**: https://docs.warp.dev/features/agent-mode/model-context-protocol --- ## <span style="color: #1e3a8a">📝 License</span> MIT License - Copyright (c) 2025 CyberLink Security --- ## <span style="color: #1e3a8a">🤝 Support</span> **Enterprise Support**: info@cyberlinksec.com **Issue Reporting**: Include server logs, Warp version, and reproduction steps --- <div align="center"> ### <span style="color: #10b981">Built with Enterprise Standards by CyberLink Security</span> **Empowering AI-Driven Architecture Decision Intelligence** </div>

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